From Alexa to personalized suggestions on Netflix, Artificial intelligence (AI) has touched every sector, industry, and function, and digital marketing is no exception.
Many companies have adapted the technology to encourage operational efficiency while improving the customer experience at the same time– it can be prospects tracking, content creation, or even real-live customer service.
The reason why marketing and AI are a great combination is they both have a common goal– driving growth. That being said, some businesses out there are still sitting on the sidelines, wondering if AI will really help them or not.
If you’re one of those people, we’ve put together solid reasons why you should start using AI for marketing today:
Why Should You Use AI for Marketing?
AI can be a powerful marketing tool because it can help you do things like understand your customers better, personalize your content, automate repetitive tasks, and measure your performance. Let’s take a more detailed look at each of these:
The most obvious benefit of AI is automation. Automation in marketing refers to the ability to automate repetitive tasks so that human resources can be better used elsewhere.
For businesses, this means that you can free up your team’s time so they can focus on other tasks that require a human touch, such as strategy and creativity– without harming the bottom line or overall marketing performance.
For example, social media management tools like Buffer and Hootsuite use AI to help businesses post content at the best times based on engagement data.
With automation like this, businesses can save hours every week while still getting the most out of their social media presence.
In this fast-paced world, positive customer experience is key to success. At least 72% of customers are likely to share their positive experiences with six other customers
One of the best things about AI is that it allows businesses to provide a personalized experience for their customers at scale. Thanks to its ability to gather large amounts of data and then make predictions based on that data.
For another example, Sephora uses AI to power its in-store virtual assistants. These digital helpers can recommend products and services to customers based on their past behavior. As a result, customers are more likely to find what they’re looking for– which leads to improved satisfaction rates.
Remember, AI isn’t a robot that will replace your customer service team– instead, it can help to enhance and augment the work that they do.
Personalized marketing is all about creating custom content for an individual based on their specific needs and interests. And since AI technology can analyze large data sets quickly and accurately, it’s well-suited for this task.
AI uses machine learning to create models that can take data from multiple sources and find patterns. This means that businesses can use AI to personalize their marketing efforts for each individual customer.
4. Predictive Analytics
Predictive analytics is a type of AI that analyzes past data to identify patterns and trends. This information can then be used to make predictions about the future, such as customer segmentation, lead scoring, and even predicting conversion rates.
AI can also be used for predictive analytics, which refers to the ability to make predictions about future events based on past data. This is a valuable tool for businesses because it can help them to make decisions about where to allocate their resources.
For example, if a business knows that there is a high likelihood of a customer churning, it can decide to invest more resources in keeping that customer happy.
Last but not least, AI can help businesses to optimize their marketing campaigns for better results. AI-powered marketing tools can help businesses to automate the process of A/B testing so that they can constantly improve their campaigns. This optimization also results in an improved conversion rate as well.
For example, when a business is running an ad campaign, AI can help to optimize the ads in real-time so that they are more effective. This means that businesses can get the most out of their campaigns and avoid wasting money on paid ads that don’t really work for them.
How To Incorporate AI In Marketing?
AI isn’t designed to replace human marketers completely– instead, it’s meant to enhance and augment their work. Here are a few ways that businesses can use AI effectively in marketing:
1. Use AI for content creation
One of the best ways to use AI in marketing is for content creation, one can also use AI tools for story writing as well. Thanks to its ability to analyze data quickly, AI can help businesses to create custom content for their target audience.
There are tons of AI-powered content marketing tools you can use to create shareable content. This content can be used across various channels, such as social media, email marketing, and even website design.
2. Use AI for customer segmentation
Another great way to use AI in marketing is for customer segmentation. This is where businesses use AI to group customers together based on their needs and interests. This helps businesses to create custom marketing campaigns that are more likely to be successful.
3. Use AI for lead scoring
Lead scoring is a process of assigning a score to a lead based on their likelihood of converting into a customer. And since AI can analyze data quickly and accurately, it’s well-suited for this task.
4. Use AI for personalization
As we mentioned earlier, one of the best things about AI is that it allows businesses to provide a personalized experience for their customers at scale. This is achievable thanks to its ability to gather large amounts of data and then make predictions based on that data.
AI is quickly becoming an essential tool for businesses in all industries, and marketing is no exception. Thanks to its ability to automate repetitive tasks, improve customer experience, and personalize marketing campaigns, AI can help businesses to save time and money while still driving growth.
However, it’s crucial to understand how to incorporate it effectively into your marketing strategy. The results still need to be checked by humans to ensure that the right message is being put out.